Michael Matthias

430 citations
26 papers · 343 · h-index 10

Impact in

Papers in

Michael Matthias

24 papers receiving 330 citations

Peers

Michael Matthias
Comparison fields: 5 of 73
  • Genetics 154
  • Computer Vision and Pattern Recognition 84
  • Media Technology 26
  • Molecular Biology 162
  • Clinical Biochemistry 15
Replace Jian Ye with:
Jian Ye China
Ronghao Li China
Gautam B. Singh United States
Satoshi Ashizawa Japan
Keyurkumar J. Patel Australia
Xiaozhi Gao Finland
Peng Hou China
Αθανάσιος Τσουκαλάς United States
Chunyan Xie United States
Andy Zhang United States
Michael Matthias relative to Jian Ye China Jian Ye's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Matthias

Since Specialization
Citations

This map shows the geographic impact of Michael Matthias's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Matthias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Matthias more than expected).

Fields of papers citing papers by Michael Matthias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Matthias. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Matthias. The network helps show where Michael Matthias may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Matthias, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Matthias Line = papers co-authored together Michael Matthias links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200391
2 201359
3 199732
4 199925
5 200424
6 200021
7 201516
8 201511
9
Announcement of population data 16 X-chromosome STR loci frequency data from a German population
200111
10 20159
11 20246
12 20136
13 20186
14 20125
15 20064
16 20113
17 20073
18 20163
19
Adaptive Rotor Blade for Vibration Reduction
20002
20 20221

About Michael Matthias

Michael Matthias is a scholar working on Molecular Biology, Civil and Structural Engineering, Control and Systems Engineering, Aerospace Engineering and Genetics, having authored 26 papers that have together received 343 indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (5 papers), Forensic and Genetic Research (4 papers), Structural Health Monitoring Techniques (4 papers), Vehicle Noise and Vibration Control (3 papers), Molecular Biology Techniques and Applications (2 papers), Dynamics and Control of Mechanical Systems (2 papers), Advanced Vision and Imaging (2 papers) and Aeroelasticity and Vibration Control (2 papers). The work is most often cited by research in Genetics (154 citations), Computer Vision and Pattern Recognition (84 citations), Media Technology (26 citations), Molecular Biology (162 citations) and Clinical Biochemistry (15 citations). Michael Matthias has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Ines Plate, R. Szibor, Marc Schlipsing, Johannes Stallkamp, Jan Salmen, Jeanett Edelmann, Sandra Hering, Holger Wittig, Lutz Roewer and Peter Wiegand. Their work appears in journals such as Journal of Medical Internet Research, Forensic Science International, Genes Chromosomes and Cancer, International Journal of Legal Medicine and Electrophoresis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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